Semantic Content Search and Personalisation
Semantic Content Search and Personalisation
Semantic Content Search and Personalisation
Semantic Content Search and Personalisation
Alive Industries transformed Envirovue's document handling capabilities by developing automate
50% Reduction in Time Spent Searching Contents
The AI-powered semantic search feature allowed users to find relevant documents within the content libraries in less time, significantly reducing the time spent on manual searches by 50%.
25% Increase in User Engagement Metrics
Enabling users to find the content most useful to them using natural language led to a notable improvement in user engagement metrics.
Challenge
OnWellbeing faced challenges in manually managing and searching their extensive content libraries. The existing process was time-consuming and prone to human error, affecting their ability to provide personalised and timely information to users.
Process
Our team conducted a detailed assessment of OnWellbeing’s specific needs, identifying key requirements for automating content vectorisation and semantic search functionalities best suited to their existing technical infrastructure. We devised a phased approach, breaking down the project into key milestones with clear deliverables and timelines.
Solution
The project was broken down into three milestones:
The project was broken down into three milestones:
Development of API Endpoints for Document Management: Created POST API endpoints for adding, deleting, and updating documents. This included vectorising and indexing content for efficient retrieval.
Implementation of a Semantic Search Feature: Developed GET API endpoints for AI-powered similarity search, enabling users to find relevant documents quickly.
Integration of AI-Driven Personalisation Tools: Utilised generative AI to provide personalised game summaries and reports, enhancing user engagement by delivering tailored insights
Summary
By implementing these solutions, Envirovue significantly enhanced the efficiency of their document handling processes. The automated systems reduced the manual workload, improved accuracy, and streamlined their operations. This demonstrates the value of bespoke AI solutions in automating complex business tasks and improving overall productivity.
Semantic Content Search and Personalisation
Alive Industries transformed Envirovue's document handling capabilities by developing automate
50% Reduction in Time Spent Searching Contents
The AI-powered semantic search feature allowed users to find relevant documents within the content libraries in less time, significantly reducing the time spent on manual searches by 50%.
25% Increase in User Engagement Metrics
Enabling users to find the content most useful to them using natural language led to a notable improvement in user engagement metrics.
Challenge
OnWellbeing faced challenges in manually managing and searching their extensive content libraries. The existing process was time-consuming and prone to human error, affecting their ability to provide personalised and timely information to users.
Process
Our team conducted a detailed assessment of OnWellbeing’s specific needs, identifying key requirements for automating content vectorisation and semantic search functionalities best suited to their existing technical infrastructure. We devised a phased approach, breaking down the project into key milestones with clear deliverables and timelines.
Solution
The project was broken down into three milestones:
The project was broken down into three milestones:
Development of API Endpoints for Document Management: Created POST API endpoints for adding, deleting, and updating documents. This included vectorising and indexing content for efficient retrieval.
Implementation of a Semantic Search Feature: Developed GET API endpoints for AI-powered similarity search, enabling users to find relevant documents quickly.
Integration of AI-Driven Personalisation Tools: Utilised generative AI to provide personalised game summaries and reports, enhancing user engagement by delivering tailored insights
Summary
By implementing these solutions, Envirovue significantly enhanced the efficiency of their document handling processes. The automated systems reduced the manual workload, improved accuracy, and streamlined their operations. This demonstrates the value of bespoke AI solutions in automating complex business tasks and improving overall productivity.
Semantic Content Search and Personalisation
Alive Industries transformed Envirovue's document handling capabilities by developing automate
50% Reduction in Time Spent Searching Contents
The AI-powered semantic search feature allowed users to find relevant documents within the content libraries in less time, significantly reducing the time spent on manual searches by 50%.
25% Increase in User Engagement Metrics
Enabling users to find the content most useful to them using natural language led to a notable improvement in user engagement metrics.
Challenge
OnWellbeing faced challenges in manually managing and searching their extensive content libraries. The existing process was time-consuming and prone to human error, affecting their ability to provide personalised and timely information to users.
Process
Our team conducted a detailed assessment of OnWellbeing’s specific needs, identifying key requirements for automating content vectorisation and semantic search functionalities best suited to their existing technical infrastructure. We devised a phased approach, breaking down the project into key milestones with clear deliverables and timelines.
Solution
The project was broken down into three milestones:
The project was broken down into three milestones:
Development of API Endpoints for Document Management: Created POST API endpoints for adding, deleting, and updating documents. This included vectorising and indexing content for efficient retrieval.
Implementation of a Semantic Search Feature: Developed GET API endpoints for AI-powered similarity search, enabling users to find relevant documents quickly.
Integration of AI-Driven Personalisation Tools: Utilised generative AI to provide personalised game summaries and reports, enhancing user engagement by delivering tailored insights
Summary
By implementing these solutions, Envirovue significantly enhanced the efficiency of their document handling processes. The automated systems reduced the manual workload, improved accuracy, and streamlined their operations. This demonstrates the value of bespoke AI solutions in automating complex business tasks and improving overall productivity.